Alcohol and drug dependence symptom items as brief screeners for substance use disorders: results from the Clinical Trials Network.
Repository Usage Stats
AIM:To address an urgent need for screening of substance use problems in medical settings, we examined substance-specific dependence criteria as potential brief screeners for the detection of patients with a substance use disorder (SUD). METHODS:The sample included 920 opioid-dependent adults who were recruited from outpatient treatment settings at 11 programs in 10 U.S. cities and who completed intake assessments of SUDs for a multisite study of the National Drug Abuse Treatment Clinical Trials Network (CTN003). Data were analyzed by factor analysis, item response theory (IRT), sensitivity, and specificity procedures. RESULTS:Across all substances (alcohol, amphetamines, cannabis, cocaine, sedatives), withdrawal was among the least prevalent symptoms, while taking large amounts and inability to cut down were among the most prevalent symptoms. Items closely related to the latent trait of a SUD showed good-to-high values of area under the receiver operating characteristic curve in identifying cases of a SUD; IRT-defined severe and less discriminative items exhibited low sensitivity in identifying cases of a SUD (withdrawal for all substances; time using for alcohol and sedatives; giving up activities for sedatives). CONCLUSIONS:Study results suggest that withdrawal and time using are much less reliable indicators for a SUD than taking larger amounts than intended and inability to cut down and that the latter two items should be studied further for consideration in developing a simplified tool for screening patients for SUDs in medical settings. These findings have implications for the use of common health indicators in electronic health records systems to improve patient care.
Substance Withdrawal Syndrome
Hypnotics and Sedatives
Health Status Indicators
Factor Analysis, Statistical
Published Version (Please cite this version)10.1016/j.jpsychires.2011.12.002
Publication InfoWu, Li-Tzy; Blazer, Dan G; Woody, George E; Burchett, Bruce; Yang, Chongming; Pan, Jeng-Jong; & Ling, Walter (2012). Alcohol and drug dependence symptom items as brief screeners for substance use disorders: results from the Clinical Trials Network. Journal of psychiatric research, 46(3). pp. 360-369. 10.1016/j.jpsychires.2011.12.002. Retrieved from https://hdl.handle.net/10161/19983.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
More InfoShow full item record
Professor of Psychiatry and Behavioral Sciences
I am currently semi-retired. Most of my recent work has been focused on roles with the National Academy of Medicine (former Institute of Medicine). I have chaired three committees during the past four years, one on the mental health and substance use workforce, one on cognitive aging, and one on hearing loss in adults. I currently also chair the Board on the Health of Select Populations for the National Academies. In the past I have been PI on a number of research
Assistant Professor in Psychiatry and Behavioral Sciences
This author no longer has a Scholars@Duke profile, so the information shown here reflects their Duke status at the time this item was deposited.
Professor in Psychiatry and Behavioral Sciences
Education/Training: Pre- and post-doctoral training in mental health service research, psychiatric epidemiology (NIMH T32), and addiction epidemiology (NIDA T32) from Johns Hopkins University School of Public Health (Maryland); Fellow of the NIH Summer Institute on the Design and Conduct of Randomized Clinical Trials.Director: Duke Community Based Substance Use Disorder Research Program.Research interests: COVID-19, Opioid misuse, Opioid overdose, Opioid use disorder
Alphabetical list of authors with Scholars@Duke profiles.